Why This Certification Matters

  • Demand for AI and Quantum Technology Experts: Organizations are seeking certified experts who can integrate AI with quantum technologies to optimize data processing and accelerate problem-solving.

  • Mitigating Risks in AI and Quantum Integration: Mismanagement of quantum computing systems and AI integration can result in inefficiencies and inaccurate results in critical applications.

  • Developing Reliable Quantum Strategies with AI: Certified professionals play a key role in developing quantum strategies that ensure performance, reliability, and alignment with industry standards.

  • Gaining a Competitive Edge: As quantum computing and AI continue to revolutionize industries, this certification provides professionals with a competitive edge, preparing them for advanced roles.

At a Glance: Course + Exam Overview

Program Name
AI+ Quantum Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?

Who Should Enroll?

  • Quantum Computing Engineers: Enhance quantum system design and performance using AI for optimization and control.

  • Physics Engineers: Apply AI techniques to improve quantum simulations and computational models.

  • AI Specialists: Leverage AI and quantum algorithms to create intelligent solutions for complex problems.

  • IT Specialists & System Integrators: Integrate AI-driven quantum computing systems to optimize infrastructure and solve large-scale challenges.

  • Students & New Graduates: Gain foundational skills in AI and quantum computing to excel in the rapidly advancing quantum technology field.

What You'll Learn

  • AI + Quantum Integration: Explore Quantum Gates, Circuits, and AI applications
  • Advanced Learnings: Includes Quantum Deep Learning and transformative AI methodologies
  • Industry-Oriented: Real-world case studies and trend analysis
  • Ethical Focus: Learn implications of quantum AI responsibly and efficiently

  • 1.1 Artificial Intelligence Refresher
  • 1.2 Quantum Computing Refresher

  • 2.1 Quantum Gates and their Representation
  • 2.2 Multi Qubit Systems and Multi Qubit Gates

  • 3.1 Core Quantum Algorithms
  • 3.2 QFT and Variational Quantum Algorithms

  • 4.1 Algorithms for Regression and Classification
  • 4.2 Algorithms for Dimensionality and Clustering

  • 5.1 Algorithms for Neural Networks – Part I
  • 5.2 Algorithms for Neural Networks – Part II

  • 6.1 Ethics for Artificial Intelligence
  • 6.2 Ethics for Quantum Computing

  • 7.1 Current Trends and Tools
  • 7.2 Future Outlook and Investment

  • 8.1 Quantum Use Cases
  • 8.2 QML Case Studies

  • 9.1 Project – I: QSVM for Iris Dataset
  • 9.2 Project – II: VQC/QNN on Iris Dataset
  • 9.3 Bonus: IBM Quantum Computers

  • 1. What Are AI Agents
  • 2. Key Capabilities of AI Agents in Quantum Computing
  • 3. Applications and Trends for AI Agents in Quantum Computing
  • 4. How Does an AI Agent Work
  • 5. Core Characteristics of AI Agents
  • 6. Types of AI Agents

Tools You'll Master

IBM Qiskit
D-Wave Leap
Google TensorFlow Quantum (TFQ)
Amazon Braket

Prerequisites

  • Basic understanding of AI concepts, Problem-solving mindset in AI and Quantum, Openness to ethical considerations in AI and quantum practices.

Exam Details

Duration

90 minutes

Passing Score

70%

Format

50 questions

Delivery Method

online proctored exam

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
  • 5 days (live or virtual) Self-Paced: 40 hours of content
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • 40 hours of content
  • Learn anywhere, anytime, with modular quizzes to track progress

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